Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "31"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 31 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 38 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 36 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 31, Node N02:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459853 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.248874 0.759446 12.073445 15.095072 0.092733 0.877015 0.421845 1.408046 0.7665 0.7121 0.4234 3.099427 2.719030
2459852 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.023714 2.508793 12.497740 16.313292 3.668704 4.474453 9.005893 12.337871 0.8431 0.8331 0.2634 5.099133 4.664132
2459851 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459850 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.157225 1.307497 11.417235 13.850563 -0.800983 3.689172 0.468164 7.865023 0.7650 0.7681 0.3577 3.083687 2.771716
2459849 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459848 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.511571 -0.700487 -1.066206 0.039216 0.989295 4.508427 1.332590 2.695458 0.7403 0.7527 0.3835 3.130285 2.709563
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 0.00% 1.184248 -1.333144 -0.853136 -0.911326 -0.095541 1.802504 -0.659381 0.247019 0.7441 0.6934 0.4366 1.450191 1.364061
2459846 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.509124 -0.976767 -0.766017 -0.853974 1.491774 4.655808 -0.325526 0.616158 0.8550 0.6927 0.4859 2.889798 2.839071
2459845 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.170685 -0.143403 -0.772452 0.330243 1.051174 5.523841 2.297259 1.809551 0.7648 0.7652 0.3657 6.161065 3.790693
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - 38.926628 2.804989 32.077806 0.701011 6.771450 8.450858 13.315939 6.144606 0.0212 0.0246 0.0025 nan nan
2459843 digital_ok 0.00% 0.66% 0.66% 0.00% 15.22% 0.00% 0.628417 -0.427689 -0.819281 0.736158 3.572230 3.446004 0.548422 0.477919 0.7656 0.7576 0.3890 1.594764 1.550017
2459839 digital_ok 100.00% - - - - - 19.368872 18.390692 87.447244 104.602643 nan nan -29.231224 -30.920487 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.790626 -1.120999 -0.360658 -0.581926 4.344751 7.911837 -0.002383 0.161739 0.0845 0.0838 0.0199 1.301872 1.297796
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0322 0.0358 0.0022 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - -0.871517 0.209646 4.682359 0.940237 -0.454905 3.496883 0.005283 0.782203 0.0320 0.0357 0.0023 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 11.611834 -0.491319 8.426509 -1.144047 2.622875 6.593590 8.507591 3.502510 0.0256 0.0312 0.0014 nan nan
2459832 digital_ok 100.00% 0.00% 5.38% 0.00% 100.00% 0.00% 1.051284 -1.722033 -0.958989 -1.111017 -0.016086 5.618473 2.850470 2.567895 0.7599 0.4448 0.5758 3.237857 2.741078
2459831 digital_ok 100.00% 100.00% 100.00% 0.00% - - 8.349662 0.354338 62.897778 1.914086 3.083580 -0.043551 22.625634 3.146816 0.0213 0.0298 0.0039 nan nan
2459830 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.665291 -1.724602 -1.044381 -0.531118 1.854841 2.108541 1.725278 2.656296 0.0747 0.0888 0.0263 1.290317 1.277112
2459829 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.449159 -1.827647 -0.006157 1.162414 3.592254 5.253950 4.816451 5.037266 0.0815 0.0889 0.0179 1.272835 1.285809
2459828 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.734187 -0.958822 -0.433519 1.372845 1.419545 1.782223 5.000282 2.806009 0.0763 0.0866 0.0203 1.165025 1.167826
2459827 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.394918 -1.061621 -0.458191 0.285186 1.880078 3.440095 0.565698 0.170842 0.0835 0.0870 0.0184 1.240258 1.238618
2459826 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.386654 -0.792055 -0.811466 0.026045 2.360801 1.166774 0.555232 1.182994 0.0590 0.0527 0.0048 1.268278 1.273262
2459825 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.072068 -1.133362 -0.848241 -1.037123 3.415050 3.982439 1.075951 0.745826 0.0745 0.0857 0.0207 1.215126 1.216567
2459824 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.871407 -0.589957 -0.102758 -0.743718 8.719161 9.695631 13.685350 13.446366 0.0877 0.0856 0.0153 1.301131 1.293221
2459823 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.493016 -0.538982 -0.755584 -0.769096 0.623416 0.333823 5.486428 9.256052 0.0749 0.0879 0.0185 1.229206 1.230723
2459822 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.059623 -0.745309 -0.887356 0.557771 0.227452 0.867948 0.698734 0.467445 0.0800 0.0861 0.0156 1.204562 1.203597
2459821 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.824550 0.193142 -0.759594 0.323972 4.848229 5.480723 3.263589 3.963389 0.0792 0.0811 0.0173 1.198804 1.194659
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.260517 -0.803446 -0.334113 1.709463 14.296243 22.857548 40.347878 40.591685 0.7790 0.6780 0.4379 4.259136 4.143357
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.257851 -0.593335 -0.814301 0.514849 0.123638 1.784633 1.632665 1.597120 0.8197 0.6699 0.5111 1.983361 1.945742
2459816 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.596535 -1.132881 -0.905179 -0.952338 3.247810 0.564306 4.930629 5.186673 0.8512 0.6001 0.5963 3.620703 3.413927
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.513806 -0.947110 -1.127263 -0.537534 1.903547 2.156308 2.411232 3.623885 0.8117 0.6740 0.5242 2.076089 1.965279
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 31: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Power 15.095072 0.759446 1.248874 15.095072 12.073445 0.877015 0.092733 1.408046 0.421845

Antenna 31: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Power 16.313292 3.023714 2.508793 12.497740 16.313292 3.668704 4.474453 9.005893 12.337871

Antenna 31: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 31: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Power 13.850563 1.157225 1.307497 11.417235 13.850563 -0.800983 3.689172 0.468164 7.865023

Antenna 31: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 31: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 4.508427 -0.700487 0.511571 0.039216 -1.066206 4.508427 0.989295 2.695458 1.332590

Antenna 31: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 1.802504 -1.333144 1.184248 -0.911326 -0.853136 1.802504 -0.095541 0.247019 -0.659381

Antenna 31: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 4.655808 0.509124 -0.976767 -0.766017 -0.853974 1.491774 4.655808 -0.325526 0.616158

Antenna 31: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 5.523841 -0.143403 1.170685 0.330243 -0.772452 5.523841 1.051174 1.809551 2.297259

Antenna 31: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Shape 38.926628 38.926628 2.804989 32.077806 0.701011 6.771450 8.450858 13.315939 6.144606

Antenna 31: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Temporal Variability 3.572230 -0.427689 0.628417 0.736158 -0.819281 3.446004 3.572230 0.477919 0.548422

Antenna 31: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Power 104.602643 18.390692 19.368872 104.602643 87.447244 nan nan -30.920487 -29.231224

Antenna 31: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 7.911837 -1.120999 0.790626 -0.581926 -0.360658 7.911837 4.344751 0.161739 -0.002383

Antenna 31: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Power 4.682359 0.209646 -0.871517 0.940237 4.682359 3.496883 -0.454905 0.782203 0.005283

Antenna 31: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Shape 11.611834 -0.491319 11.611834 -1.144047 8.426509 6.593590 2.622875 3.502510 8.507591

Antenna 31: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 5.618473 1.051284 -1.722033 -0.958989 -1.111017 -0.016086 5.618473 2.850470 2.567895

Antenna 31: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Power 62.897778 8.349662 0.354338 62.897778 1.914086 3.083580 -0.043551 22.625634 3.146816

Antenna 31: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Discontinuties 2.656296 0.665291 -1.724602 -1.044381 -0.531118 1.854841 2.108541 1.725278 2.656296

Antenna 31: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 5.253950 -1.827647 1.449159 1.162414 -0.006157 5.253950 3.592254 5.037266 4.816451

Antenna 31: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Temporal Discontinuties 5.000282 -0.958822 0.734187 1.372845 -0.433519 1.782223 1.419545 2.806009 5.000282

Antenna 31: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 3.440095 1.394918 -1.061621 -0.458191 0.285186 1.880078 3.440095 0.565698 0.170842

Antenna 31: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Temporal Variability 2.360801 -0.792055 0.386654 0.026045 -0.811466 1.166774 2.360801 1.182994 0.555232

Antenna 31: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 3.982439 -1.133362 0.072068 -1.037123 -0.848241 3.982439 3.415050 0.745826 1.075951

Antenna 31: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok ee Temporal Discontinuties 13.685350 1.871407 -0.589957 -0.102758 -0.743718 8.719161 9.695631 13.685350 13.446366

Antenna 31: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Discontinuties 9.256052 -0.538982 -0.493016 -0.769096 -0.755584 0.333823 0.623416 9.256052 5.486428

Antenna 31: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 0.867948 0.059623 -0.745309 -0.887356 0.557771 0.227452 0.867948 0.698734 0.467445

Antenna 31: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 5.480723 0.193142 0.824550 0.323972 -0.759594 5.480723 4.848229 3.963389 3.263589

Antenna 31: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Discontinuties 40.591685 1.260517 -0.803446 -0.334113 1.709463 14.296243 22.857548 40.347878 40.591685

Antenna 31: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Variability 1.784633 -0.257851 -0.593335 -0.814301 0.514849 0.123638 1.784633 1.632665 1.597120

Antenna 31: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Discontinuties 5.186673 -1.132881 0.596535 -0.952338 -0.905179 0.564306 3.247810 5.186673 4.930629

Antenna 31: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Temporal Discontinuties 3.623885 -0.947110 -0.513806 -0.537534 -1.127263 2.156308 1.903547 3.623885 2.411232

Antenna 31: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 31: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
31 N02 digital_ok nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: